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001    894169697 
003    OCoLC 
005    20200921044809.1 
006    m     o  d         
007    cr cnu---unuuu 
008    141101s2015    flua    ob    001 0 eng d 
020    9781482212198 
020    1482212196 
035    (OCoLC)894169697|z(OCoLC)896849563 
035    Taylor & Francis All eBooks 
035    skip4alma 
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050  4 R853.S7eb 
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082 04 570.15195|a610.72/7|223eb 
245 00 Clinical trial biostatistics and biopharmaceutical 
       applications /|cedited by Walter R. Young, Ding-Geng (Din)
       Chen. 
264  1 Boca Raton, Florida. :|bCRC Press,|c©2015. 
300    1 online resource :|billustrations 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
504    Includes bibliographical references. 
505 0  Section 1. Emerging issues in clinical trial design and 
       analysis -- section 2. Adaptive clinical trials -- section
       3. Clinical trials in oncology -- section 4. Multiple 
       comparisons in clinical trials -- section 5. Clinical 
       trials in a genomic era. 
506    Available only to authorized UTEP users. 
520    "Since 1945, "The Annual Deming Conference on Applied 
       Statistics" has been an important event in the statistics 
       profession. In Clinical Trial Biostatistics and 
       Biopharmaceutical Applications, prominent speakers from 
       past Deming conferences present novel biostatistical 
       methodologies in clinical trials as well as up-to-date 
       biostatistical applications from the pharmaceutical 
       industry. Divided into five sections, the book begins with
       emerging issues in clinical trial design and analysis, 
       including the roles of modeling and simulation, the pros 
       and cons of randomization procedures, the design of Phase 
       II dose-ranging trials, thorough QT/QTc clinical trials, 
       and assay sensitivity and the constancy assumption in 
       noninferiority trials. The second section examines 
       adaptive designs in drug development, discusses the 
       consequences of group-sequential and adaptive designs, and
       illustrates group sequential design in R. The third 
       section focuses on oncology clinical trials, covering 
       competing risks, escalation with overdose control (EWOC) 
       dose finding, and interval-censored time-to-event data. In
       the fourth section, the book describes multiple test 
       problems with applications to adaptive designs, graphical 
       approaches to multiple testing, the estimation of 
       simultaneous confidence intervals for multiple comparisons,
       and weighted parametric multiple testing methods. The 
       final section discusses the statistical analysis of 
       biomarkers from omics technologies, biomarker strategies 
       applicable to clinical development, and the statistical 
       evaluation of surrogate endpoints. This book clarifies 
       important issues when designing and analyzing clinical 
       trials, including several misunderstood and unresolved 
       challenges. It will help readers choose the right method 
       for their biostatistical application. Each chapter is self
       -contained with references"--Provided by publisher. 
588 0  Online resource; title from PDF title page (EBSCO, viewed 
       December 17, 2014). 
650  0 Biometry|xMethodology. 
650  0 Clinical trials. 
650  0 Experimental design. 
650 12 Biostatistics|xmethods. 
650 12 Clinical Trials as Topic. 
650 22 Research Design. 
655  0 Electronic books. 
700 1  Young, Walter R.,|eeditor. 
700 1  Chen, Ding-Geng,|eeditor. 
776 08 |iPrint version:|aYoung, Walter R.|tClinical Trial 
       Biostatistics and Biopharmaceutical Applications.|dHoboken
       : Taylor and Francis, ©2014|z9781482212181 
856 40 |uhttp://0-www.taylorfrancis.com.lib.utep.edu/books/
       9780429173066|zTo access this resource 
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